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UV Layouts Data Quality Audit with String Normalisation and Numeric Row Ordering
x402
UV Layouts Data Quality Audit with String Normalisation and Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs three local analytical reports on supplied UV layout records: a record quality audit, string normalisation, and numeric row ordering for island_count and occupied_percent fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
UV layouts — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied uv layouts records (island_count, occupied_percent). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit highlighting missing, malformed, or out-of-range values; (2) string normalisation results for text fields such as asset_group; and (3) rows re-ordered by the selected numeric field (island_count or occupied_percent). All reports are computed locally with no external lookups.
Example use cases
UV layout QA before pipeline handoff
“I need to audit this batch of UV layout records before handing them off — can you run the record quality audit, string normalisation, and numeric ordering on these 50 rows using the island_count field and flag anything that looks off?”
Detecting malformed occupied_percent values
“I have a CSV of UV layout data with island_count and occupied_percent columns and I'm worried some rows have bad or missing values — can you run the quality audit and string normalisation on it and order the rows by occupied_percent so I can see the range?”
Preparing UV layout data for reporting
“Before I build my report I need these UV layout records cleaned up — please run string normalisation and numeric row ordering on the island_count field for this set of rows and tell me if any records fail the quality audit.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-06-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 UV layout records with island_count and occupied_percent fields and need a bundled set of three offline analytical reports — quality audit, string normalisation, and numeric ordering — in a single low-cost call. It is not suitable for live data lookups, predictions, or datasets exceeding 200 rows.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, island_count, occupied_percent) on any row causes validation failure
- Date field not matching YYYY-MM-DD pattern returns schema validation error
- Invalid field enum value (not island_count or occupied_percent) causes parameter rejection
- Empty rows array returns error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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